{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 运行代码"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "sample_and=[\n",
    "    [0,0,0],\n",
    "    [1,0,0],\n",
    "    [0,1,0],\n",
    "    [1,1,1],\n",
    "]\n",
    "\n",
    "sample_or = [\n",
    "    [0,0,0],\n",
    "    [1,0,1],\n",
    "    [0,1,1],\n",
    "    [1,1,1],\n",
    "]\n",
    "#异或\n",
    "sample_xor = [\n",
    "    [0,0,0],\n",
    "    [1,0,1],\n",
    "    [0,1,1],\n",
    "    [1,1,0],  \n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def perception(samples):\n",
    "    w = np.array([1,2])\n",
    "    b = 0#偏移值\n",
    "    a = 1#反馈系数\n",
    "    \n",
    "    for i in range(10):\n",
    "        for j in range(4):\n",
    "            x = np.array(samples[j][:2])\n",
    "            y = 1 if np.dot(w,x) + b > 0 else 0\n",
    "            d = np.array(samples[j][2])\n",
    "            \n",
    "            delta_b = a * (d-y)\n",
    "            delta_w = a * (d-y) * x\n",
    "            \n",
    "            print('epoch {} sample {} [{} {} {} {} {} {} {}]'.format(\n",
    "                i, j, w[0], w[1], b, y, delta_w[0], delta_w[1], delta_b\n",
    "            ))\n",
    "            \n",
    "            w = w + delta_w\n",
    "            b = b + delta_b"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "logical and\n",
      "epoch 0 sample 0 [1 2 0 0 0 0 0]\n",
      "epoch 0 sample 1 [1 2 0 1 -1 0 -1]\n",
      "epoch 0 sample 2 [0 2 -1 1 0 -1 -1]\n",
      "epoch 0 sample 3 [0 1 -2 0 1 1 1]\n",
      "epoch 1 sample 0 [1 2 -1 0 0 0 0]\n",
      "epoch 1 sample 1 [1 2 -1 0 0 0 0]\n",
      "epoch 1 sample 2 [1 2 -1 1 0 -1 -1]\n",
      "epoch 1 sample 3 [1 1 -2 0 1 1 1]\n",
      "epoch 2 sample 0 [2 2 -1 0 0 0 0]\n",
      "epoch 2 sample 1 [2 2 -1 1 -1 0 -1]\n",
      "epoch 2 sample 2 [1 2 -2 0 0 0 0]\n",
      "epoch 2 sample 3 [1 2 -2 1 0 0 0]\n",
      "epoch 3 sample 0 [1 2 -2 0 0 0 0]\n",
      "epoch 3 sample 1 [1 2 -2 0 0 0 0]\n",
      "epoch 3 sample 2 [1 2 -2 0 0 0 0]\n",
      "epoch 3 sample 3 [1 2 -2 1 0 0 0]\n",
      "epoch 4 sample 0 [1 2 -2 0 0 0 0]\n",
      "epoch 4 sample 1 [1 2 -2 0 0 0 0]\n",
      "epoch 4 sample 2 [1 2 -2 0 0 0 0]\n",
      "epoch 4 sample 3 [1 2 -2 1 0 0 0]\n",
      "epoch 5 sample 0 [1 2 -2 0 0 0 0]\n",
      "epoch 5 sample 1 [1 2 -2 0 0 0 0]\n",
      "epoch 5 sample 2 [1 2 -2 0 0 0 0]\n",
      "epoch 5 sample 3 [1 2 -2 1 0 0 0]\n",
      "epoch 6 sample 0 [1 2 -2 0 0 0 0]\n",
      "epoch 6 sample 1 [1 2 -2 0 0 0 0]\n",
      "epoch 6 sample 2 [1 2 -2 0 0 0 0]\n",
      "epoch 6 sample 3 [1 2 -2 1 0 0 0]\n",
      "epoch 7 sample 0 [1 2 -2 0 0 0 0]\n",
      "epoch 7 sample 1 [1 2 -2 0 0 0 0]\n",
      "epoch 7 sample 2 [1 2 -2 0 0 0 0]\n",
      "epoch 7 sample 3 [1 2 -2 1 0 0 0]\n",
      "epoch 8 sample 0 [1 2 -2 0 0 0 0]\n",
      "epoch 8 sample 1 [1 2 -2 0 0 0 0]\n",
      "epoch 8 sample 2 [1 2 -2 0 0 0 0]\n",
      "epoch 8 sample 3 [1 2 -2 1 0 0 0]\n",
      "epoch 9 sample 0 [1 2 -2 0 0 0 0]\n",
      "epoch 9 sample 1 [1 2 -2 0 0 0 0]\n",
      "epoch 9 sample 2 [1 2 -2 0 0 0 0]\n",
      "epoch 9 sample 3 [1 2 -2 1 0 0 0]\n",
      "logical or\n",
      "epoch 0 sample 0 [1 2 0 0 0 0 0]\n",
      "epoch 0 sample 1 [1 2 0 1 0 0 0]\n",
      "epoch 0 sample 2 [1 2 0 1 0 0 0]\n",
      "epoch 0 sample 3 [1 2 0 1 0 0 0]\n",
      "epoch 1 sample 0 [1 2 0 0 0 0 0]\n",
      "epoch 1 sample 1 [1 2 0 1 0 0 0]\n",
      "epoch 1 sample 2 [1 2 0 1 0 0 0]\n",
      "epoch 1 sample 3 [1 2 0 1 0 0 0]\n",
      "epoch 2 sample 0 [1 2 0 0 0 0 0]\n",
      "epoch 2 sample 1 [1 2 0 1 0 0 0]\n",
      "epoch 2 sample 2 [1 2 0 1 0 0 0]\n",
      "epoch 2 sample 3 [1 2 0 1 0 0 0]\n",
      "epoch 3 sample 0 [1 2 0 0 0 0 0]\n",
      "epoch 3 sample 1 [1 2 0 1 0 0 0]\n",
      "epoch 3 sample 2 [1 2 0 1 0 0 0]\n",
      "epoch 3 sample 3 [1 2 0 1 0 0 0]\n",
      "epoch 4 sample 0 [1 2 0 0 0 0 0]\n",
      "epoch 4 sample 1 [1 2 0 1 0 0 0]\n",
      "epoch 4 sample 2 [1 2 0 1 0 0 0]\n",
      "epoch 4 sample 3 [1 2 0 1 0 0 0]\n",
      "epoch 5 sample 0 [1 2 0 0 0 0 0]\n",
      "epoch 5 sample 1 [1 2 0 1 0 0 0]\n",
      "epoch 5 sample 2 [1 2 0 1 0 0 0]\n",
      "epoch 5 sample 3 [1 2 0 1 0 0 0]\n",
      "epoch 6 sample 0 [1 2 0 0 0 0 0]\n",
      "epoch 6 sample 1 [1 2 0 1 0 0 0]\n",
      "epoch 6 sample 2 [1 2 0 1 0 0 0]\n",
      "epoch 6 sample 3 [1 2 0 1 0 0 0]\n",
      "epoch 7 sample 0 [1 2 0 0 0 0 0]\n",
      "epoch 7 sample 1 [1 2 0 1 0 0 0]\n",
      "epoch 7 sample 2 [1 2 0 1 0 0 0]\n",
      "epoch 7 sample 3 [1 2 0 1 0 0 0]\n",
      "epoch 8 sample 0 [1 2 0 0 0 0 0]\n",
      "epoch 8 sample 1 [1 2 0 1 0 0 0]\n",
      "epoch 8 sample 2 [1 2 0 1 0 0 0]\n",
      "epoch 8 sample 3 [1 2 0 1 0 0 0]\n",
      "epoch 9 sample 0 [1 2 0 0 0 0 0]\n",
      "epoch 9 sample 1 [1 2 0 1 0 0 0]\n",
      "epoch 9 sample 2 [1 2 0 1 0 0 0]\n",
      "epoch 9 sample 3 [1 2 0 1 0 0 0]\n",
      "logical xor\n",
      "epoch 0 sample 0 [1 2 0 0 0 0 0]\n",
      "epoch 0 sample 1 [1 2 0 1 0 0 0]\n",
      "epoch 0 sample 2 [1 2 0 1 0 0 0]\n",
      "epoch 0 sample 3 [1 2 0 1 -1 -1 -1]\n",
      "epoch 1 sample 0 [0 1 -1 0 0 0 0]\n",
      "epoch 1 sample 1 [0 1 -1 0 1 0 1]\n",
      "epoch 1 sample 2 [1 1 0 1 0 0 0]\n",
      "epoch 1 sample 3 [1 1 0 1 -1 -1 -1]\n",
      "epoch 2 sample 0 [0 0 -1 0 0 0 0]\n",
      "epoch 2 sample 1 [0 0 -1 0 1 0 1]\n",
      "epoch 2 sample 2 [1 0 0 0 0 1 1]\n",
      "epoch 2 sample 3 [1 1 1 1 -1 -1 -1]\n",
      "epoch 3 sample 0 [0 0 0 0 0 0 0]\n",
      "epoch 3 sample 1 [0 0 0 0 1 0 1]\n",
      "epoch 3 sample 2 [1 0 1 1 0 0 0]\n",
      "epoch 3 sample 3 [1 0 1 1 -1 -1 -1]\n",
      "epoch 4 sample 0 [0 -1 0 0 0 0 0]\n",
      "epoch 4 sample 1 [0 -1 0 0 1 0 1]\n",
      "epoch 4 sample 2 [1 -1 1 0 0 1 1]\n",
      "epoch 4 sample 3 [1 0 2 1 -1 -1 -1]\n",
      "epoch 5 sample 0 [0 -1 1 1 0 0 -1]\n",
      "epoch 5 sample 1 [0 -1 0 0 1 0 1]\n",
      "epoch 5 sample 2 [1 -1 1 0 0 1 1]\n",
      "epoch 5 sample 3 [1 0 2 1 -1 -1 -1]\n",
      "epoch 6 sample 0 [0 -1 1 1 0 0 -1]\n",
      "epoch 6 sample 1 [0 -1 0 0 1 0 1]\n",
      "epoch 6 sample 2 [1 -1 1 0 0 1 1]\n",
      "epoch 6 sample 3 [1 0 2 1 -1 -1 -1]\n",
      "epoch 7 sample 0 [0 -1 1 1 0 0 -1]\n",
      "epoch 7 sample 1 [0 -1 0 0 1 0 1]\n",
      "epoch 7 sample 2 [1 -1 1 0 0 1 1]\n",
      "epoch 7 sample 3 [1 0 2 1 -1 -1 -1]\n",
      "epoch 8 sample 0 [0 -1 1 1 0 0 -1]\n",
      "epoch 8 sample 1 [0 -1 0 0 1 0 1]\n",
      "epoch 8 sample 2 [1 -1 1 0 0 1 1]\n",
      "epoch 8 sample 3 [1 0 2 1 -1 -1 -1]\n",
      "epoch 9 sample 0 [0 -1 1 1 0 0 -1]\n",
      "epoch 9 sample 1 [0 -1 0 0 1 0 1]\n",
      "epoch 9 sample 2 [1 -1 1 0 0 1 1]\n",
      "epoch 9 sample 3 [1 0 2 1 -1 -1 -1]\n"
     ]
    }
   ],
   "source": [
    "if __name__ == '__main__':\n",
    "    print('logical and')\n",
    "    perception(sample_and)\n",
    "    print('logical or')\n",
    "    perception(sample_or)\n",
    "    print('logical xor')\n",
    "    perception(sample_xor)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 分析"
   ]
  },
  {
   "attachments": {
    "%E5%9B%BE%E7%89%87.png": {
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "\n",
    "percetion（percetron）函数将感知器的二维权重向量w初值设为[1,2]，偏置量b初值设为0，反馈系数a设为1\n",
    "\n",
    "然后通过反馈(d-y)得到b与w的修正项delta_b与delta_w，将修正过的b与w再重复上述的反馈——修正过程，循环10次\n",
    "\n",
    "——————————————————————————————————————————————————————\n",
    "\n",
    "如果把样本当作二维坐标系中的点，二维输入信号 x 作为坐标，响应 d 作为点的特征，那么w与b组成的向量即可表示为坐标系中的直线\n",
    "\n",
    "percetion函数的作用就是找到一条直线，将坐标中的点，依据其特征(0或者1)，将其划分为两个只有0与只有1的区域\n",
    "\n",
    "对w的修正其实改变直线的斜率，对b的修正是将直线在坐标中平移，通过旋转和平移这两种方式找到目标直线\n",
    "\n",
    "——————————————————————————————————————————————————————\n",
    "\n",
    "\n",
    "显然，仅通过一条直线，不一定可以将平面上的两种点彻底分割开，而异或就属于不可分的一种情况\n",
    "\n",
    "\n",
    "其实，四个点中有两个点属于一类，另外两个点属于另一类，只要同一类的两个点联接的线段相交，就不可能用一条直线将不同类的点分开\n",
    "\n",
    "\n",
    "——————————————————————————————————————————————————————\n",
    "\n",
    "我们可以证明一下：\n",
    "![%E5%9B%BE%E7%89%87.png](attachment:%E5%9B%BE%E7%89%87.png)\n",
    "\n",
    "四个点围成的四边形S，凡是不经过区域S的直线，肯定不能将点分为两类，但是经过了区域S的直线，一定会经过对角线，也就是\n",
    "同类的点之间的连线，这样以来也肯定不能将点分为两类，所以不存在。\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "通过将异或感知器训练结过程作图说明"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "\n",
    "%matplotlib inline\n",
    "def draw_line(line):\n",
    "    if line[1] != 0:\n",
    "        x = np.linspace(-1.5,1.5,7)\n",
    "        y  = list(map(lambda x:-(line[-1]+line[0]*x)/line[1],x))\n",
    "    else:\n",
    "        x = np.ones(7)*(-line[-1]/line[0])\n",
    "        y = np.linspace(-1.5,1.5,7)\n",
    "    return (x,y)\n",
    "\n",
    "def plot_xor(line):\n",
    "    plt.scatter([0],[0],color='g')\n",
    "    plt.scatter([1],[1],color='g')\n",
    "    plt.scatter([0],[1],color='r')\n",
    "    plt.scatter([1],[0],color='r')\n",
    "    div = draw_line(line)\n",
    "    plt.plot(div[0],div[1],color='y')\n",
    "    plt.show()\n",
    "\n",
    "    \n",
    "def perception_plt(samples):\n",
    "    w = np.array([1,2])\n",
    "    b = 0#偏移值\n",
    "    a = 1#反馈系数\n",
    "    \n",
    "    for i in range(10):\n",
    "        for j in range(4):\n",
    "            x = np.array(samples[j][:2])\n",
    "            y = 1 if np.dot(w,x) + b > 0 else 0\n",
    "            d = np.array(samples[j][2])\n",
    "            \n",
    "            delta_b = a * (d-y)\n",
    "            delta_w = a * (d-y) * x\n",
    "            plot_xor(w+[b])\n",
    "            print('epoch {} sample {} [{} {} {} {} {} {} {}]'.format(\n",
    "                i, j, w[0], w[1], b, y, delta_w[0], delta_w[1], delta_b\n",
    "            ))\n",
    "            \n",
    "            w = w + delta_w\n",
    "            b = b + delta_b\n",
    "            \n",
    "            "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 0 sample 0 [1 2 0 0 0 0 0]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 0 sample 1 [1 2 0 1 0 0 0]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 0 sample 2 [1 2 0 1 0 0 0]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 0 sample 3 [1 2 0 1 -1 -1 -1]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 1 sample 0 [0 1 -1 0 0 0 0]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 1 sample 1 [0 1 -1 0 1 0 1]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 1 sample 2 [1 1 0 1 0 0 0]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 1 sample 3 [1 1 0 1 -1 -1 -1]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 2 sample 0 [0 0 -1 0 0 0 0]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 2 sample 1 [0 0 -1 0 1 0 1]\n"
     ]
    },
    {
     "data": {
      "image/png": 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Nd5t3ACeNeY7D1M/XFuBPgD8Dvj/OyY1AP+v9TeCqqvoudD5NbsxzHJZ+1lrAz3a3jwf2j3F+Q1Wdj3Z9Zokh24DPVMcdwIuTnDCs+odT4J8IPLmgva/b13NMVT0PHABeOpbZDVc/a13ovXTOGtarZdeb5Azg5Kr6h3FObET6+fq+Gnh1kn9JckeS88Y2u+HqZ61/BLyr+2FLu4HfGc/U1sRK/22vyEAfgHKI6XWmfvA9p/2MWQ/6XkeSdwGTwK+MdEajteR6kxwBfAy4bFwTGrF+vr4b6FzWOZvOT29fT/LaqvqfEc9t2PpZ6yXAp6vqL5KcBXy2u9Yfj356YzfSjDqczvD3AScvaJ/ET//o9/9jkmyg8+PhUj9eHar6WStJzgV2ABdW1Q/GNLdRWG69LwJeC9ya5Jt0rn3uWscv3Pb7vXxDVT1XVf8FPErnP4D1pp+1vhf4PEBV/RtwLJ1fNHY46uvf9modToF/F7A1yalJjqbzouyug8bsAi7tbl8EfLW6r5SsM8uutXuJ41N0wn69Xt/9iSXXW1UHqmpTVU1U1QSd1ywurKrZtZnuwPr5Xv4inRfmSbKJziWex8c6y+HoZ61PAOcAJHkNncCfG+ssx2cX8O7u3TpvBA5U1VPDOvhhc0mnqp5PcjlwE51X/q+uqoeSfASYrapdwN/S+XFwD50z+4vXbsar1+da/xw4Dvj77uvST1TVhWs26QH0ud7DRp/rvQl4a5KHgR8Bf1hV31m7Wa9On2v9A+Cvk/wencsbl63TEzWSfI7OZbhN3dckPgwcBVBVn6TzGsX5wB5gHnjPUOuv0783SdIKHU6XdCRJSzDwJakRBr4kNcLAl6RGGPiS1AgDX5IaYeBLUiP+Dy+xgZDa9VTWAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 2 sample 2 [1 0 0 0 0 1 1]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 2 sample 3 [1 1 1 1 -1 -1 -1]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\anaconda\\lib\\site-packages\\ipykernel_launcher.py:9: RuntimeWarning: invalid value encountered in long_scalars\n",
      "  if __name__ == '__main__':\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 3 sample 0 [0 0 0 0 0 0 0]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 3 sample 1 [0 0 0 0 1 0 1]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 3 sample 2 [1 0 1 1 0 0 0]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 3 sample 3 [1 0 1 1 -1 -1 -1]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 4 sample 0 [0 -1 0 0 0 0 0]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 4 sample 1 [0 -1 0 0 1 0 1]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 4 sample 2 [1 -1 1 0 0 1 1]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 4 sample 3 [1 0 2 1 -1 -1 -1]\n"
     ]
    },
    {
     "data": {
      "image/png": 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Nd5t3ACeNeY7D1M/XFuBPgD8Dvj/OyY1AP+v9TeCqqvoudD5NbsxzHJZ+1lrAz3a3jwf2j3F+Q1Wdj3Z9Zokh24DPVMcdwIuTnDCs+odT4J8IPLmgva/b13NMVT0PHABeOpbZDVc/a13ovXTOGtarZdeb5Azg5Kr6h3FObET6+fq+Gnh1kn9JckeS88Y2u+HqZ61/BLyr+2FLu4HfGc/U1sRK/22vyEAfgHKI6XWmfvA9p/2MWQ/6XkeSdwGTwK+MdEajteR6kxwBfAy4bFwTGrF+vr4b6FzWOZvOT29fT/LaqvqfEc9t2PpZ6yXAp6vqL5KcBXy2u9Yfj356YzfSjDqczvD3AScvaJ/ET//o9/9jkmyg8+PhUj9eHar6WStJzgV2ABdW1Q/GNLdRWG69LwJeC9ya5Jt0rn3uWscv3Pb7vXxDVT1XVf8FPErnP4D1pp+1vhf4PEBV/RtwLJ1fNHY46uvf9modToF/F7A1yalJjqbzouyug8bsAi7tbl8EfLW6r5SsM8uutXuJ41N0wn69Xt/9iSXXW1UHqmpTVU1U1QSd1ywurKrZtZnuwPr5Xv4inRfmSbKJziWex8c6y+HoZ61PAOcAJHkNncCfG+ssx2cX8O7u3TpvBA5U1VPDOvhhc0mnqp5PcjlwE51X/q+uqoeSfASYrapdwN/S+XFwD50z+4vXbsar1+da/xw4Dvj77uvST1TVhWs26QH0ud7DRp/rvQl4a5KHgR8Bf1hV31m7Wa9On2v9A+Cvk/wencsbl63TEzWSfI7OZbhN3dckPgwcBVBVn6TzGsX5wB5gHnjPUOuv0783SdIKHU6XdCRJSzDwJakRBr4kNcLAl6RGGPiS1AgDX5IaYeBLUiP+Dy+xgZDa9VTWAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 5 sample 0 [0 -1 1 1 0 0 -1]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 5 sample 1 [0 -1 0 0 1 0 1]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 5 sample 2 [1 -1 1 0 0 1 1]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 5 sample 3 [1 0 2 1 -1 -1 -1]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 6 sample 0 [0 -1 1 1 0 0 -1]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 6 sample 1 [0 -1 0 0 1 0 1]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 6 sample 2 [1 -1 1 0 0 1 1]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 6 sample 3 [1 0 2 1 -1 -1 -1]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 7 sample 0 [0 -1 1 1 0 0 -1]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 7 sample 1 [0 -1 0 0 1 0 1]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 7 sample 2 [1 -1 1 0 0 1 1]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 7 sample 3 [1 0 2 1 -1 -1 -1]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 8 sample 0 [0 -1 1 1 0 0 -1]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 8 sample 1 [0 -1 0 0 1 0 1]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 8 sample 2 [1 -1 1 0 0 1 1]\n"
     ]
    },
    {
     "data": {
      "image/png": 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5lJZmYOfOP3MSLiKwyMmPTE/CdRsslnKEh6dh27ZLUV19NkZGOnRHI9KKRU5+Z+lSM/Lz30Nq6n3Yu/cd2O2Z2LHjt5yEixYtFjn5JREjkpKuh9Vag8jI47F9+7WoqDgNw8MNuqMReR2LnPzakiVrkJPzOjZs+D327auCw5GL9vafcRIuWlRY5OT3RAQrV14Bm82F5cs3obn5uygrOx779lXqjkbkFSxyChihoYnIzPwbzOa/YHS0E06nBS0t3+ckXBTwWOQUUKYn4boINpsLK1Zcgra2u+Bw5GNg4APd0YgWDIucAlJwcCwyMh5DdvarmJzcj/Lyk7F9+w2YmNinOxqRx7HIKaDFxm6C1VqDxMRrsWPH/XA4srFnzxu6YxF5FIucAl5QUATS0h5AXt67EAlBVdWZ2LbtCoyP9+uORuQRLHJaNKKjT4HFUonk5Fuwc+fjsNvN6O19TncsIre5VeQicpGI1IrIlIhYPBWKaKEYjWFYu/YnKCwsRUhIAmprL0Bt7UUYHd2pOxrRMXP3iLwGwAUA3vVAFiKviYgoQEFBKdas2Yq+vhdgt5uxc+fjnISL/JJbRa6UqlNK1XsqDJE3GQzBSEn5HiyWSoSHZ2DbtstQVfV5jIy06Y5GNC9eO0cuIkUi4hARR29vr7c2SzSrpUvTkZ//L6Sm/goDA++htDQTnZ0PcBIu8huzFrmIvCkiNYf5d958NqSUKlZKWZRSlvj4+GNPTLQARAxISvomrNYaREWdjMbGb6K8/DMYHuYvnOT7gmZ7gFLqDG8EIfIFS5aYkJPzP9i163E0Nt4Iuz0XJtPtWL36ZhgMwbrjER0W335I9AkigoSEy2C1uhAbezZaWr6HsrLjMTRUrjsa0WG5+/bDL4pIJ4ATAbwsIq95JhaRfqGhCcjKehaZmc9idLQLTqcVzc3fw+TkiO5oRIdw910rzymlkpRSoUqp45RSn/NUMCJfER9/IWw2FxISLkV7+0/gcORh7973dMci+jeeWiGag+Dg5UhP/wNycl7D1NQIKipOQUPDdZiYGNIdjYhFTjQfy5efCau1BqtWfQtdXQ/Cbs/Cnj08o0h6sciJ5ikoaBnWr78f+fn/gtEYjqqqTairuwzj43t0R6NFikVOdIyiok5GYWE5kpO3YNeuEpSWZqCn51ndsWgRYpETuWF6Eq67UFjoQGjoKrhcF6Gm5kKMjnbrjkaLCIucyAMiIvJQUFCKtWt/it27X4bdbkZ39x84CRd5BYucyEMMhiAkJ38XVmslli7NQn39FaiqOhMHDrTojkYBjkVO5GHh4RuQl/dPrF//GwwOfgi7PQudnb+CUpO6o1GAYpETLQARA1atuhZWay2ioz+DxsbrUV5+Cvbvr9MdjQIQi5xoAYWFJSM7+xWkpz+O4eF6OBx5aGvbiqmpcd3RKICwyIkW2PQkXJfCZnMhLu58tLTcBqfTgqEhp+5oFCBY5EReEhJyHDIzn0Zm5nMYH++B03k8mpq+i8nJA7qjkZ9jkRN5WXz8+bBaXUhIuBwdHT+Dw5GLvXv5Z2/p2LHIiTQIDo5BevojyMl5A0pNoKLiVDQ0XIuJiUHd0cgPsciJNFq+/AxYrdVISroBXV0PwW7Pwu7dr+iORX6GRU6kmdG4FKmpv0R+/vswGiNQXX0W6uouxdhYn+5o5CdY5EQ+IirqBFgsZUhJ+T56ep6C3W5GT89feJk/zYpFTuRDDIZQrFlzJwoLnQgNTYbL9WXU1HwRo6NduqORD2ORE/mgZctyUFDwIdau/Rn6+19DaakZXV2P8OicDotFTuSjpifh+jYsliosW5aHhoarUVl5Bg4caNYdjXwMi5zIx4WHr0de3ttIS3sIQ0N22O1Z6Oj4JSfhon9jkRP5AREDEhO/DqvVhejoz6Kp6SaUlZ2M/ftrdUcjH8AiJ/IjYWFJyM5+ERkZJThwoBEORz5aW+/E1NSY7mikEYucyM+ICI477hLYbHWIj78Qra23w+ksxOCgXXc00oRFTuSnQkLiYTY/iays5zE+vgdlZSegsfFmTE4O645GXsYiJ/JzcXHnwmZzYeXKq9DZ+XPY7Tno739HdyzyIhY5UQAICorChg2/Q27u2wCAysrTUV//dUxMDGhORt7AIicKIDExp8NqrUJS0k3o7n4EpaWZ6Ot7SXcsWmAscqIAYzSGIzX15ygo+ADBwTGoqTkHLtclGBvr1R2NFgiLnChARUbaUFjohMl0B3p7n0VpaQZ27XqCl/kHIBY5UQAzGEJgMt2OwsIyLFmyDnV1m1FTcy5GRjp1RyMPYpETLQLLlmWhoOB9rFv3C/T3vwW73Yyurt9BqSnd0cgDWOREi4SIEatX3wirtRoRERY0NFyDysqNGB5u1B2N3MQiJ1pklixZh9zct5CW9jCGhsrgcGSjvf1eTE1N6I5Gx4hFTrQIiQgSE6+CzeZCTMz/Q3Pzt1FefiL27avSHY2OgVtFLiL3iMg2EakSkedEJNpTwYho4YWGrkJW1vMwm5/CyEgbnM5CtLTcjqmpUd3RaB7cPSJ/A0CWUioHQAOAW92PRETeJCJYseLLsFpdiI//Mtra7oTDUYCBgQ91R6M5cqvIlVKvK6U+PrH2IYAk9yMRkQ4hIXEwm/+M7OyXMDk5iPLyk9DYeBMmJ/frjkaz8OQ58isAvHqkT4pIkYg4RMTR28srzIh8VWzsWbBaa5GYeA06O38Juz0b/f1v6Y5FRzFrkYvImyJSc5h/5x30mC0AJgCUHGk9SqlipZRFKWWJj4/3THoiWhBBQZFIS3sQeXnvQMSIysozsG3bVRgf36s7Gh1G0GwPUEqdcbTPi8hlAM4GsFHx2l+igBIdfSosliq0tt6Bjo57sWfPK0hL+y3i4s6b/YvJa9x918omAN8FcK5SirPZEwUgo3EJ1q27GwUFHyE4OB41NeejtvbLGBvbpTsazXD3HPkDACIAvCEiFSLykAcyEZEPioy0oLDQAZPpR+jr+ztKS83YufPPnITLB8x6auVolFKpngpCRL7PYAiGyXQb4uMvQH39ldi27VL09DyBtLSHEBaWrDveosUrO4lo3pYuNSM//z2kpt6HvXv/Cbs9Ezt2PMhJuDRhkRPRMRExIinpelitNYiMPAHbt/8XKipOw/Bwg+5oiw6LnIjcsmTJGuTkvI4NGx7F/v3VsNtz0N5+Nyfh8iIWORG5TUSwcuV/wmp1ITb2C2huvgVlZcdj375K3dEWBRY5EXlMaOhKZGb+FWbzMxgd7YTTaUFz822YnBzRHS2gsciJyKOmJ+H6Emw2F1asuATt7VvhdOZjYOB93dECFouciBZEcHAsMjIeQ3b2q5icHEZ5+X9g+/ZvYWJin+5oAYdFTkQLKjZ2E6zWGiQmXosdO34Nuz0Le/a8rjtWQGGRE9GCCwqKQFraA8jLexcGQyiqqj6Hbdv+E+Pj/bqjBQQWORF5TXT0KbBYKpGcfCt27vwT7HYzenv/pjuW32ORE5FXGY1hWLv2xygsLEVISAJqay9ETc2XMDq6U3c0v8UiJyItIiIKUFBQijVrfozdu1+C3W7Gzp2PcRKuY8AiJyJtDIZgpKTcCoulAuHhGdi27XJUVW3CgQOtuqP5FRY5EWm3dGk68vP/hdTUX2Ng4H9ht2ehs/PXnIRrjljkROQTRAxISroONlstoqL+A42N30J5+Wewf/823dF8HouciHxKWFgKcnJeRXr6HzE87ILDkYu2th9jampcdzSfxSInIp8jIkhIuAxWqwtxceeipWULyspsGBoq1x3NJ7HIichnhYYmIDPzGWRm/hWjo91wOq1obr4Vk5MHdEfzKSxyIvJ58fEXwGarQ0LC19De/lM4HHnYu/c93bF8BouciPxCcHAM0tMfRU7Oa1BqDBUVp6Ch4TpMTAzpjqYdi5yI/Mry5WfCYqnGqlXfQlfXg7Dbs7B79//ojqUVi5yI/E5Q0DKsX38/8vPfg9EYjurqz6Ou7jKMj+/WHU0LFjkR+a2oqJNQWFiO5OQt6Ol5AqWlZvT0PLvoLvNnkRORX5uehOsuFBTYERqaBJfrItTWXojR0W7d0byGRU5EASEiIg8FBR9h7dq7sWfPqygtzUB396OL4uicRU5EAcNgCEJy8ndgsVRi2bIc1NdfiaqqM3HgQIvuaAuKRU5EASc8PA15ee9g/foHMTj44cwkXPdDqUnd0RYEi5yIApKIAatWfQNWay2io09FY+MNKC8/Bfv3u3RH8zgWOREFtLCwZGRnv4z09D9heLgeDkc+WlvvCqhJuFjkRBTwpifh+ipstjrExX0Rra3fh9NpweCgQ3c0j2CRE9GiERKyApmZTyEr6+8YH+9FWdnxaGr6jt9PwsUiJ6JFJy7uPFitLqxceQU6Ou6Bw5GDvXv/qTvWMWORE9GiFBwcjQ0bHkZu7ptQahIVFaehoeEbmJgY1B1t3ljkRLSoxcRshNVajaSkG9HV9TvY7ZnYvfsV3bHmhUVORIue0bgUqam/QH7++zAaI1FdfRZcrq9ibKxPd7Q5cavIReRHIlIlIhUi8rqIJHoqGBGRt0VFnQCLpQwpKbejt/dp2O1m9PQ87fOX+bt7RH6PUipHKZUH4CUAP/BAJiIibQyGUKxZcwcKC8sQFpYCl+ti1NScj9HRHbqjHZFbRa6UOvhVgaUAfPvHFhHRHC1blo38/A+wbt296O9/HaWlZnR1PeyTR+dunyMXka0i0gFgM45yRC4iRSLiEBFHb2+vu5slIlpwBkMQVq/+b1gs1YiIKEBDQxEqKzfiwIEm3dEOIbP9dBGRNwEkHOZTW5RSzx/0uFsBhCmlbp9toxaLRTkcgXFFFREtDkpNobv7ETQ1fRtKjWPNmruQlHQ9RIxeyyAiTqWU5VPLPfVrgoikAHhZKZU122NZ5ETkr0ZGOrF9+zewe/dLiIiwYcOG32PZsllrzyOOVOTuvmtl/UEfngtgmzvrIyLydWFhScjKegEZGU9gZKQZTmcBWlt/iKmpMW2Z3D1H/lMRqRGRKgBnArjeA5mIiHyaiOC4474Cq9WF+PiL0Np6B5zOQgwOlmrJ4+67Vi5USmXNvAXxHKWU774/h4jIw0JC4mE2lyAr60WMj/ejrOxENDbejMnJYa/m4JWdRERuios7GzZbLVauvBqdnT+H3Z6N/v5/eG37LHIiIg8ICorChg0PITf3HwAElZWfRX391zExMbDg22aRExF5UEzMabBaq7B69c3o7n4EpaVm9PW9uKDbZJETEXmY0RiOdevuQUHBhwgOjkVNzblwuS7B2NjCXAzJIiciWiCRkVYUFjpgMt2J3t5nUVqagf7+dzy+HRY5EdECMhhCYDJ9HxZLOSIiCrFkSarHtxHk8TUSEdGnLF2aidzc1xZk3TwiJyLycyxyIiI/xyInIvJzLHIiIj/HIici8nMsciIiP8ciJyLycyxyIiI/57E/9TavjYr0Amg7xi+PA9DnwTg6cSy+J1DGAXAsvsqdsaQopeI/uVBLkbtDRByH+5t1/ohj8T2BMg6AY/FVCzEWnlohIvJzLHIiIj/nj0VerDuAB3EsvidQxgFwLL7K42Pxu3PkRER0KH88IiciooOwyImI/JzPF7mIXCQitSIyJSJHfMuOiLSKSLWIVIiIw5sZ52oeY9kkIvUi0igit3gz41yJyHIReUNEts/cxhzhcZMz+6RCRF7wds4jme05FpFQEXl65vMfiYjJ+ynnZg5juVxEeg/aD1fpyDkbEXlURHpEpOYInxcR+dXMOKtEpMDbGedqDmM5TUQGDtonP3Brg0opn/4HIAPABgDvALAc5XGtAOJ053V3LACMAJoArAUQAqASgFl39sPk/BmAW2bu3wLg7iM8bp/urMfyHAO4FsBDM/cvBvC07txujOVyAA/ozjqHsXwGQAGAmiN8/gsAXgUgAE4A8JHuzG6M5TQAL3lqez5/RK6UqlNK1evO4QlzHIsNQKNSqlkpNQbgKQDnLXy6eTsPwGMz9x8DcL7GLPM1l+f44PE9C2CjiIgXM86Vv/x/mZVS6l0Ae47ykPMAPK6mfQggWkRWeifd/MxhLB7l80U+DwrA6yLiFJEi3WHcsApAx0Efd84s8zXHKaW6AWDmdsURHhcmIoAwqg8AAAKASURBVA4R+VBEfKXs5/Ic//sxSqkJAAMAYr2Sbn7m+v/lwpnTEc+KyGrvRPM4f/nemKsTRaRSRF4VkUx3VuQTf3xZRN4EkHCYT21RSj0/x9WcrJTqEpEVAN4QkW0zPxW9ygNjOdxRn5b3iB5tLPNYTfLMflkL4G0RqVZKNXkm4TGby3PsM/thFnPJ+SKAJ5VSoyJyDaZ/0/jsgifzPH/ZJ3NRhul5U/aJyBcA/B3A+mNdmU8UuVLqDA+so2vmtkdEnsP0r5xeL3IPjKUTwMFHTEkAutxc5zE52lhEZJeIrFRKdc/8ettzhHV8vF+aReQdAPmYPqer01ye448f0ykiQQCi4MVfledh1rEopXYf9OHDAO72Qq6F4DPfG+5SSg0edP8VEXlQROKUUsc0mVZAnFoRkaUiEvHxfQBnAjjsq8V+wA5gvYisEZEQTL/Q5jPv9jjICwAum7l/GYBP/bYhIjEiEjpzPw7AyQBcXkt4ZHN5jg8e35cAvK1mXqXyMbOO5RPnkc8FUOfFfJ70AoCvzbx75QQAAx+f3vM3IpLw8WsuImLDdBfvPvpXHYXuV3fn8OrvFzH9k3gUwC4Ar80sTwTwysz9tZh+tb4SQC2mT2Noz34sY5n5+AsAGjB95OqrY4kF8BaA7TO3y2eWWwA8MnP/JADVM/ulGsCVunMf7TkGcCeAc2fuhwF4BkAjgFIAa3VndmMsP5n5vqgE8A8A6bozH2EcTwLoBjA+831yJYBrAFwz83kB8JuZcVbjKO9i0/1vDmO57qB98iGAk9zZHi/RJyLycwFxaoWIaDFjkRMR+TkWORGRn2ORExH5ORY5EZGfY5ETEfk5FjkRkZ/7P6oOdYLmzCwLAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 8 sample 3 [1 0 2 1 -1 -1 -1]\n"
     ]
    },
    {
     "data": {
      "image/png": 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Nd5t3ACeNeY7D1M/XFuBPgD8Dvj/OyY1AP+v9TeCqqvoudD5NbsxzHJZ+1lrAz3a3jwf2j3F+Q1Wdj3Z9Zokh24DPVMcdwIuTnDCs+odT4J8IPLmgva/b13NMVT0PHABeOpbZDVc/a13ovXTOGtarZdeb5Azg5Kr6h3FObET6+fq+Gnh1kn9JckeS88Y2u+HqZ61/BLyr+2FLu4HfGc/U1sRK/22vyEAfgHKI6XWmfvA9p/2MWQ/6XkeSdwGTwK+MdEajteR6kxwBfAy4bFwTGrF+vr4b6FzWOZvOT29fT/LaqvqfEc9t2PpZ6yXAp6vqL5KcBXy2u9Yfj356YzfSjDqczvD3AScvaJ/ET//o9/9jkmyg8+PhUj9eHar6WStJzgV2ABdW1Q/GNLdRWG69LwJeC9ya5Jt0rn3uWscv3Pb7vXxDVT1XVf8FPErnP4D1pp+1vhf4PEBV/RtwLJ1fNHY46uvf9modToF/F7A1yalJjqbzouyug8bsAi7tbl8EfLW6r5SsM8uutXuJ41N0wn69Xt/9iSXXW1UHqmpTVU1U1QSd1ywurKrZtZnuwPr5Xv4inRfmSbKJziWex8c6y+HoZ61PAOcAJHkNncCfG+ssx2cX8O7u3TpvBA5U1VPDOvhhc0mnqp5PcjlwE51X/q+uqoeSfASYrapdwN/S+XFwD50z+4vXbsar1+da/xw4Dvj77uvST1TVhWs26QH0ud7DRp/rvQl4a5KHgR8Bf1hV31m7Wa9On2v9A+Cvk/wencsbl63TEzWSfI7OZbhN3dckPgwcBVBVn6TzGsX5wB5gHnjPUOuv0783SdIKHU6XdCRJSzDwJakRBr4kNcLAl6RGGPiS1AgDX5IaYeBLUiP+Dy+xgZDa9VTWAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 9 sample 0 [0 -1 1 1 0 0 -1]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 9 sample 1 [0 -1 0 0 1 0 1]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 9 sample 2 [1 -1 1 0 0 1 1]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 9 sample 3 [1 0 2 1 -1 -1 -1]\n"
     ]
    }
   ],
   "source": [
    "perception_plt(sample_xor)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
